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Minimal request shape, authentication checks, and first successful response.
Documentation Desk
Practical guides for AI coding Agent tutorials and operations.
install tool and sandboxload repo contextrun testsprepare PR handoffDocumentation Map
Pick the path that matches the workflow question: configure, route models, load context, or hand off a tested change.
Minimal request shape, authentication checks, and first successful response.
Smoke tests, response contracts, and source-backed assumptions before traffic.
Fallback, observability, rate-limit behavior, and production handoff notes.
Refresh decisions and editorial checks for pages that should stay useful.
Latest Docs
A practical guide to routing coding agent code-review calls through a multi-model API gateway so that fast checks and deep analysis land on the right models, stay observable, and do not drift when upstream endpoints change.
How to structure a coding agent CI repair loop: detect a failing CI run, hand the failure context to an agent, validate the fix, and gate the PR without losing evidence or spinning into runaway retry cycles.
Practical cost-control patterns for teams running coding agents through a model gateway, covering spend guards, per-agent token budgets, CI-integrated spend checks, and verification steps to confirm your gateway enforces the limits you configure.
A practical guide to choosing and configuring model routes for coding agent workflows, covering task-type mapping, instruction-file conventions, CI integration, and gateway setup.
How to design and operate fallback routing for coding agent model calls so that a single provider outage or quota exhaustion does not stall your agent pipeline. Covers priority lists, retry logic, error-path detection, and smoke-test workflow.